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Specific type of Production Analysis (PA) workflow based on correlation between multi-well production/injection history and permanent downhole gauges (PDG) data records.

The key simulation engine of MRT is Pressure Convolution which is based on Unit-rate Transient Responses (UTR) retrieved from Production rates / PDG data history by means of Pressure Deconvolution.

It does not require new data acquisition at well site and makes use of historical dynamic data records, usually few months or longer.


Motivation



The ultimate purpose of MRT is to extract maximum information from correlation between the long-term (few months or longer) flowrate history and BHP history (recorded by PDG).

It all start with understanding that BHP in a given well responds to flowrate variation in the same well and may respond to flowrate variation in offset wells.

This information is further related to well flow performance and cross-well connectivity.


Goals & Objectives



  • Create short-term prediction model on production response to various multi-well production regimes

  • Compare the well dynamics and and cross-well connectivity with expectations and identify the candidates for drilling, workover or additional well surveillance

  • Assess dynamic reservoir properties


Outputs



Production History



Simulated total subsurface flowrate history,

LaTeX Math Inline
bodyq_t(t)

Simulated BHP history,

LaTeX Math Inline
body--uriencoded--p_%7Bwf%7D(t)

Simulated formation pressure history,

LaTeX Math Inline
bodyp_e(t)

Simulated Productivity Index history,

LaTeX Math Inline
bodyJ_t(t)

Simulated Cross-well interference history

LaTeX Math Inline
body--uriencoded--p_%7Bk \rightarrow m%7D(t)

Production Forecast

Rate forecast under Pressure Control regime, 

LaTeX Math Inline
body--uriencoded--p_k(t), \%7B q_m(t) \%7D \rightarrow q_k(t)

BHP forecast under Liquid Control regime, 

LaTeX Math Inline
body--uriencoded--\%7B q_m(t) \%7D \rightarrow p_%7Bwf, \, k%7D(t)

Formation pressure forecast under Liquid Control regime, 

LaTeX Math Inline
body--uriencoded--\%7B q_m(t) \%7D \rightarrow p_%7Be, \, k%7D(t)

Diagnostic Metrics









Cross-well interference map
Unit-rate Transient Response Matrix (UTRM)
Unit-rate Transient Response Spider (UTRS)
Material Balance Pressure Plot
Inflow Performance Relationship (IPR)
Cumulative Productivity Plot (Hall Plot)
J-plots
WOR diagnostics
GOR diagnostics
Primary Well & Reservoir properties


Potential drainage volume
Current dynamic drainage volume
Secondary Well & Reservoir properties




Apparent transmissibility
Apparent skin-factor 
Fracture half-length
Dynamic fracture pressure threshold


Inputs




Applications



Production forecasts

Predict formation pressure without shutting wells down and avoiding production deferment

Short-term production forecasts for different multi-well production scenarios
Selecting well-intervention candidates

Identify well-intervention candidates with possible thief production/injection

Identify well-intervention candidates with possibly inefficient reservoir flow profile

Identifywell-intervention candidates for Rate Optimization

Identifywell-intervention candidates for producer ↔ injector conversion
Dynamic Model Calibration

Adjusting historical production allocation

Adjusting the potential reservoir volume extension at different directions

Adjusting faults / channels / compartmentalization

Adjusting fracture model


Workflow



MRT @workflow


Examples



MRT @sample


See Also


Petroleum Industry / Upstream /  Production / Subsurface Production / Field Study & Modelling / Production Analysis

MRT @sample ] [ MRT @workflow ]

Permanent downhole gauges (PDG) ] Pressure Convolution  ] [ Pressure Deconvolution ] [ Multiwell Deconvolution (MDCV) ]

Radial Deconvolution (RDCV) ][ RDCV @model ]RDCV @sample ]

Cross-well Deconvolution (XDCV) ]XDCV @model ]XDCV @sample ] 

Material Balance Analysis ] [ Capacitance Resistance Model (CRM) ] Pressure Transient Analysis (PTA) ]